• 보건의료산업학회지
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• 제12권2호
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• pp.125-134
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• 2018

Objectives : The purpose of this study was to analyze factors related to the functional state of stroke patients after discharge from hospital. Methods : The data was provided from a hospital in Wonju, Gangwon-do. The subjects of the analysis were those who were admitted to the emergency room due to stroke from July to December 2016. The dependent variable was the patient's functional status as measured by the modified Rankin Scale(mRS). Independent variables were demographic factors (age, sex, and marriage status), transportation and distance factors (transportation, travel distance), inpatient factors (lengths of stay, Charlson Comorbidity Index (CCI), Tissue plasminogen activator, National Institute of Health Stroke Scale (NIHSS). Hierarchial regression analysis was applied for the analysis. Results : In the hierarchical regression analysis, Model 3, including socio-demographic factors, transportation, distance factors, and inpatient factors, was the best fitted model. It showed that functional status of stroke patients was positively associated with age, length of stay, CCI, NIHSS, and negatively associated with unmarried status. Conclusions : Results indicated that management of stroke requires care from the pre-disease stage, and a customized education program policy is needed for high-risk stroke patients who are older and have comorbid illness.

• 응용통계연구
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• 제31권2호
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• pp.253-263
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• 2018

본 연구에서는 우리나라 청소년의 인터넷 중독 자료를 희소 부분 최소제곱법을 적용 하여 분석하였다. 서울 성모병원에서 수집된 자가보고 방식의 인터넷 중독 측도와 다양한 임상 및 정신 병리학적 설문 문항들을 자료로 활용하였다. 표본의 개수보다 설문 문항의 수가 많은 고차원 자료이며, 각 세부문항끼리는 상관관계가 높아 부분 최소제곱법이 좋은 회귀분석 모형이다. 보다 높은 예측 성능과 해석력을 얻기위해 희소성 제약 조건이 가능한 희소 부분 최소 제곱법을 이용하였고, 2가지 다른 벌칙함수를 이용하여 가장 좋은 방법을 선택하였다. 또한, 제안된 최종 모형을 통해 인터넷 중독이 임상 및 정신 병리학적 측도들로 잘 설명됨을 보이고, 공격성과 관련된 다른 설문 문항이 설문 문항이 모형의 잠재성분을 구별하고 설명하는데 역할을 한다는 유의미한 결과를 도출하였다.

• 산업융합연구
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• 제20권9호
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• pp.109-118
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• 2022

이 연구는 장애인복지관 종사자의 성장욕구가 고객지향성에 미치는 영향과 이에 대한 참여적 의사결정의 매개효과를 검증하는 것을 목적으로 수행되었다. 연구 목적을 달성하기 위해 전국 장애인복지관 종사자를 대상으로 설문조사를 실시하였으며, 최종적으로 총 847부의 설문지를 분석하였다. 참여적 의사결정의 매개효과를 확인하기 위해 Baron과 Kenny가 제시한 3단계 위계적 회귀분석을 진행하였으며, 주요 분석결과는 다음과 같다. 첫째, 성장욕구는 고객지향성에 긍정적인 영향을 미쳤다. 둘째, 참여적 의사결정은 성장욕구와 고객지향성 간의 관계를 매개하였다. 이러한 연구결과를 바탕으로 장애인복지관 종사자의 고객지향성 제고를 위해 개인적인 차원과 조직적인 측면에서의 방안을 제언하였다.

• 문화기술의 융합
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• 제10권4호
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• pp.551-561
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• 2024

본 연구는 코로나-19 환자를 돌보는 간호사를 대상으로 전문직 삶의 질에 미치는 영향요인을 파악하기 위한 서술적 조사연구이다. 2023년 4월 10일부터 2023년 4월 28일까지 G도에 소재한 3개의 코로나 지정병원에서 코로나-19 환자를 돌보는 간호사를 대상으로 145명을 대상으로 설문지를 이용하여 자료를 수집하였다. SPSS 25.0프로그램을 사용하여 기술통계, t-test, one-way ANOVA, Pearson's correlation coefficient, Hierarchical regression analysis을 사용하였다. 코로나 19 환자를 돌보는 간호사의 전문직 삶의 질에 영향을 미치는 요인을 분석한 결과 회복탄력성(β=.49, p<.001), 직무스트레스(β=-.36, p<.001)로 나타났으며, 모형에 대한 설명력은 53.7%이었다(F=32.20, p<.001). 본 연구결과 코로나 19 환자를 돌보는 간호사의 전문직 삶의 질을 향상하기 위해서는 직무스트레스를 줄이고, 회복탄력성 향상을 위한 구체적인 방안이 모색되어야 할 것이다.

• 가정과삶의질연구
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• 제24권2호
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• pp.149-163
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• 2006

The purposes of this study were to explore ecological variables that affect family functions and to analyze relative magnitudes of significant predictors. The study employed ecological model. Data were collected from 143 mothers of mildly handicapped children enrolled in integrated kindergartens in Seoul, Korea. The results of the study were as follows : 1. The level of family functions with mildly handicapped children were found to be moderate(M=3.21, SD=.49). 2. The hierarchical regression analysis yielded Model V as the most powerful model, explaining 79%$(Adjusted\;R^2=.787)$ of the variance. 3. The most powerful predictors throughout Model I to V were found to be maternal efficacy $({\beta}=.578,\;p<.001)$, maternal satisfaction with parent-education and counseling programs $({\beta}=.249,\;p<.001)$, husband's helps $({\beta}=.207,\;p<.01)$, and the availability of assistance other than family members $({\beta}=.232,\;p<.05)$ in the order.

• 여성건강간호학회지
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• 제30권3호
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• pp.203-215
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• 2024

Purpose: The increasing number of high-risk pregnancies has led to a greater emphasis on psychological well-being in nursing care. However, reducing depression does not automatically equate to increasing happiness. This study aimed to systematically examine the factors influencing happiness and depression among high-risk pregnant women in South Korea. Methods: This correlational, cross-sectional study was based on the ecological systems theory. In total, 152 high-risk pregnant women completed a self-report survey questionnaire available online or offline. Data were analyzed using hierarchical regression analysis. Results: The first model (individual system) identified pregnancy stress and mindfulness as significant factors influencing both happiness and depression. The second model (microsystem) identified medical status at the time of the survey, maternal-fetal interaction, marital intimacy, and social support as additional significant factors influencing either happiness or depression. In the third model (mesosystem), maternal-fetal interaction and paternal-fetal attachment were no longer identified as significant factors. Although the fourth model (exosystem) did not identify community service as a significant factor, individual (pregnancy stress, mindfulness) and microsystem (marital intimacy) factors were found to influence happiness and depression. Medical status at the time of survey and social support were additional factors that influenced happiness, but not depression. These factors explained 51.2% and 55.5% of the variance in happiness and depression, respectively, among high-risk pregnant women. Conclusion: Different factors at the individual and microsystem levels affected happiness and depression among high-risk pregnant women. Hence, efforts to reduce depression among these women should be accompanied by efforts to actively promote happiness.

• 사물인터넷융복합논문지
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• 제10권2호
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• pp.137-148
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• 2024

본 연구의 목적은 리테일테크의 기술활용이 소비자의 구매의도에 어떠한 영향이 있는지를 규명하는 것이다. 더욱이 이러한 영향관계에서 기술 유용성과 용이성의 매개효과를 규명하고, 체험마케팅이 소비자의 구매의도를 조절하는지를 규명하는 것이다. 연구방법은 2023년 8월 1일 부터 2023년 9월 30일까지 설문조사를 실시하였고, 총257명이 연구에 참여하였다. 통계분석은 가설 검증을 위해 위계적 회귀분석, 3단계 매개회귀분석, 위계적 3단계 조절회귀분석을 실시하였다. 연구결과는 다음과 같다. 첫째, 리테일테크 기술 활용에서 빅데이터·AI 활용, 모바일·SNS 활용, 라이브커머스 활용, 사물인터넷 활용이 구매의도에 미치는 것으로 확인되었다. 둘째, 기술 유용성은 사물인터넷 활용, 모바일·SNS 활용, 빅데이터·AI 활용에서 매개효과가 확인되었다. 셋째, 기술 용이성은 사물인터넷 활용, 모바일·SNS 활용, 라이브커머스 활용, 빅데이터·AI 활용 매개효과가 확인되었다. 넷째, 일탈적 체험은 모바일·SNS 활용, 라이브커머스 활용에서 조절효과가 확인되었다. 다섯째, 심미적 체험은 모바일·SNS 활용, 빅데이터·AI 활용에서 조절효과가 확인되었다. 이러한 연구를 통하여 국내 유통산업이 글로벌 시장에 진출하는데 있어 신기술을 활용하여 기업의 경쟁우위를 확보하여 국가 경쟁력에 기여하길 기대한다.

• 디지털산업정보학회논문지
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• 제18권4호
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• pp.97-110
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• 2022

The purpose of this study is to analyze the level of public data convergence capabilities of administrative organizations and to explore important variables in data-based organizational capabilities. The theoretical background was summarized on public data and use activation, joint use, convergence, administrative organization, and convergence constraints. These contents were explained Public Data Act, the Electronic Government Act, and the Data-Based Administrative Act. The research model was set as the data-based organizational capabilities effect by a data-based administrative capability, public data operation capabilities, and public data operation constraints. It was also set whether there is a capabilities difference data-based on an organizational operation by the level of data convergence capabilities. This study analysis was conducted with hierarchical cluster analysis and multiple regression analysis. As the research result, First, hierarchical cluster analysis was classified into three groups. It was classified into a group that uses only public data and structured data, a group that uses public data on both structured and unstructured data, and a group that uses both public and private data. Second, the critical variables of data-based organizational operation capabilities were found in the data-based administrative planning and administrative technology, the supervisory organizations and technical systems by public data convergence, and the data sharing and market transaction constraints. Finally, the essential independent variables on data-based organizational competencies differ by group. This study contributed. As a theoretical implication, this research is updated on management information systems by explaining the Public Data Act, the Electronic Government Act, and the Data-Based Administrative Act. As a practical implication, the activity reinforcement of public data should be promoting the establishment of data standardization and search convenience and elimination of the lukewarm attitudes and Selfishness behavior for data sharing.

• 한국지역사회생활과학회지
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• 제22권4호
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• pp.623-635
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• 2011

Over the past few decades, the proportion of elderly people with depression in Korea has been rapidly increasing. The purpose of this study is to explore relative effects of health and family factors on geriatric depression. The data sources are from Korean Longitudinal Study of Aging(2008). The Analysis sample consists of 4,040 cases. Analysis results show that there is a significant variability in geriatric depression according to sociodemographic characteristics, health characteristics, and family characteristics. Hierarchical logistic regression analyses are employed to assess the causal relationship between health characteristics and geriatric depression. Model II showed that ADL(exp(B)=1.732), having difficulties due to sight deterioration(exp(B)=1.398), having difficulties due to masticatory force deterioration(exp(B)=1.414), having difficulties due to pain(exp(B)=2.435), and subjective health status(exp(B)=2.010) are reported as predictors of geriatric depression. Namely, the probability of having geriatric depression of the above predictors has been 1.7 times, 1.4 times, 1.4 times, 2.4 times. 2.0 times higher than normal figures. Among health characteristics, pain is the most prevalent factor. Model III showed that as for family characteristics, coresiding with children(exp(B)=1.312) and frequency of contacting with children by phones, letters, or emails(exp(B)=1.477) are reported as predictors of geriatric depression. Key findings are that health factors have larger effects than family factors on geriatric depression.

• Human Ecology Research
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• 제57권2호
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• pp.171-183
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• 2019

Convergence between technology and financial services is ubiquitous and widespread. Virtual banks represent an important aspect of financial markets that can generate value added for consumers and enhance the quality of financial services. This study explores the effect of innovation characteristics (relative advantage, compatibility, and perceived risk), consumer characteristics (status quo bias), and social mechanisms (network externality: complementarity, numbers of peers) on consumers' adoption intention and resistance to virtual banks. This study adopted an innovation resistance model with two dependent variables: adoption intention and resistance to virtual banks. An online self-administered survey was conducted and 532 or non-users of virtual banks aged 20 to 69 years old were analyzed. Frequency analysis, descriptive analysis, and hierarchical multiple regression indicated that status quo bias, relative advantage, perceived risk, complementarity, and number of peers insignificantly influence the adoption intention regarding virtual banks. Furthermore, status quo bias, relative advantage, perceived risk, and number of peers insignificantly influence the resistance to virtual banks. Female respondents have a lower adoption intention and higher resistance to virtual banks than male respondents. The findings suggest that the innovation resistance model can be useful in understanding consumers'adoption and resistance behavior as well as reveal that innovation characteristics, consumer characteristics, and social mechanism are important antecedent variables of the innovation adoption decision.